Update README.md

README.md

@@ -11,24 +11,12 @@ pipeline_tag: image-classification
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-### Recommendations
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-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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-[More Information Needed]
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 ## Training Details
 
 ### Training Data
 This model was trained on the Eurosat dataset containing  Sentinel-2 satellite images available at ```blanchon/EuroSAT_RGB```
 <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
-The Eurosat dataset consists of ten classes
+The Eurosat dataset consists of ten classes and the a total of 27,000 images with a training set size of 16,200 images
   - Annual Crop
   - Forest
   - Herbaceous Vegetation
@@ -68,18 +56,11 @@ The Eurosat dataset consists of ten classes
 
 #### Testing Data
 
-<!-- This should link to a Dataset Card if possible. -->
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-[More Information Needed]
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-#### Factors
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-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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-[More Information Needed]
+- 5400 images
 
 #### Metrics
 Model Accuracy: 88%
+model Recall: 88%
 <!-- These are the evaluation metrics being used, ideally with a description of why. -->
 
 [More Information Needed]